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M.Tech. Candidate in AI & Data Science (Shiv Nadar University, Chennai) B.Tech. in CSE Core (VIT Bhopal ’25 Alumnus) Data Science Enthusiast. Skilled in Machine Learning Driven to Transform Data into Business Solutions
Highly motivated Computer Science and Engineering student with strong hands-on experience in data science, machine learning, and software development. Skilled in Python, SQL, Flask, and Power BI with a proven ability to build data-driven applications and deploy end-to-end solutions.
Shiv Nadar University, Chennai
M.Tech · Artificial Intelligence And Data Science
August 1, 2025 – Present
VIT Bhopal University, Bhopal
B.Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2025
The Velammal International School, Chennai
Class XII
N/A – May 31, 2021
The Velammal International School, Chennai
Class X
N/A – May 31, 2019
Statskew
Data Science
July 1, 2023 – September 1, 2023
Gurgaon, Haryana, India
Diabetic Macular Edema Prediction System
July 1, 2024 – January 1, 2025
Developed a machine learning-based system to detect Diabetic Macular Edema (DME). Built a web-based deployment using Python, HTML, CSS, and JavaScript. Improved early diagnosis accuracy, supporting better clinical decision-making.
View ProjectTrafficTelligence: Traffic Volume Estimation
November 1, 2023 – December 1, 2023
Implemented machine learning models for real-time traffic volume estimation. Developed a full-stack web application using Flask, HTML, and CSS. Improved traffic management accuracy, reducing congestion by approximately 20%.
View ProjectPython Programming
Unknown
June 1, 2026 – Present
SQL and Data Analysis
Unknown
June 1, 2026 – Present
Data Visualization with Power BI
Unknown
June 1, 2026 – Present
Artificial Intelligence and Machine Learning
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background and project diversity (traffic management, medical diagnosis, business prediction) suggest an interest in applying data science across various domains. The listed interests in data and technology align with a data-driven culture. However, the experience level is entry-level, which may not align with a 'Lead Data Scientist' role requiring significant leadership and mentorship capabilities.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to collaborate in cross-functional teams and apply ML algorithms to real-world problems. The academic projects show initiative in end-to-end solution development. However, with only one internship and academic projects, the depth of operational experience and leadership in a senior role is not yet demonstrated.